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Quibble Posted 16 years ago
Grammar
Probability distributions
When should I use 'the' and 'a' for well defined probability distributions (e.g., normal distribution, exponential distribution, and binomial distribution)?
Suppose there are data I collected, which ones are correct?
I used a normal distribution to describe the data.
I used the normal distribution to describe the data.
The mean and variationce relationship of the data followed that of a Poisson distribution.
The mean and variationce relationship of the data followed that of the Poisson distribution.
Suppose there are data I collected, which ones are correct?
I used a normal distribution to describe the data.
I used the normal distribution to describe the data.
The mean and variationce relationship of the data followed that of a Poisson distribution.
The mean and variationce relationship of the data followed that of the Poisson distribution.
Top answer
I am not a mathematician, but if the distribution is a single discrete formula, then you can use 'the'-- or you can use 'a/an' indicating one instance of its use. g, normal distributions, you must use 'a/an'.
- I am not a mathematician, but if the distribution is a single discrete formula, then you can use 'the'-- or you can use 'a/an' indicating one instance of its use.
- g, normal distributions, you must use 'a/an'.
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4 Answers
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I am not a mathematician, but if the distribution is a single discrete formula, then you can use 'the'-- or you can use 'a/an' indicating one instance of its use. However, if there are several sorts of e.g, normal distributions, you must use 'a/an'.
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The linear model is
y = a + b * x
which is the general formulation. a and b are the parameters of the model. There are many lines that can be described by the formulation (by changing the parameter values).
y = 3 + 2 * x
y = 4 - 100 * x
y = -1 + 0.1 * x
etc.
But a particular data set is characterized by one realization (specific a and b) of t
y = a + b * x
which is the general formulation. a and b are the parameters of the model. There are many lines that can be described by the formulation (by changing the parameter values).
y = 3 + 2 * x
y = 4 - 100 * x
y = -1 + 0.1 * x
etc.
But a particular data set is characterized by one realization (specific a and b) of t
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y = a + b * x
The name of that formula is the Linear Model? I just found this in Wikipedia:
In http://en.wikipedia.org/wiki/Statistics, the term linear model is used in different ways according to the context. The most common occurrence is in connection with regression models and
The name of that formula is the Linear Model? I just found this in Wikipedia:
In http://en.wikipedia.org/wiki/Statistics, the term linear model is used in different ways according to the context. The most common occurrence is in connection with regression models and
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